Triple
T23217470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Talisker distillery |
E580787
|
entity |
| Predicate | usesTraditionalFloorMaltings |
P151397
|
FINISHED |
| Object | false |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: false | Statement: [Talisker distillery, usesTraditionalFloorMaltings, false]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesTraditionalFloorMaltings Context triple: [Talisker distillery, usesTraditionalFloorMaltings, false]
-
A.
typeOfMalt
Indicates the specific kind or category of malt used or referenced in relation to another entity.
-
B.
maltingsSupply
Indicates that one entity supplies maltings (facilities or products related to malting) to another entity.
-
C.
granaryType
Indicates the specific kind or category of granary associated with or used by an entity.
-
D.
hasMashBill
Indicates that an alcoholic beverage (typically a spirit like whiskey or bourbon) is produced using a specific mixture of grains (the mash bill).
-
E.
grain
Indicates that one entity is composed of or contains a granular substance or small particles of another entity.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e2460389408190be74f41d217799a9 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1916653f08190a7dcbc659c6b6a25 |
completed | April 29, 2026, 5:04 a.m. |
| PD | Predicate disambiguation | batch_69effcccee508190a7ae311fdd319806 |
completed | April 28, 2026, 12:18 a.m. |
| PDg | Predicate description generation | batch_69f01d8770d081908897c28b04e5faea |
completed | April 28, 2026, 2:37 a.m. |
Created at: April 17, 2026, 4:08 p.m.